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growth-analytics

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Applied data analytics and data science projects focused on transforming raw data into actionable insights, predictive models, and business decisions. The portfolio showcases end-to-end workflows using Python, SQL, Power BI, and statistical modelling, covering problem definition, data preparation, analysis, modelling, and stakeholder-ready insights

  • Updated Jan 17, 2026
  • Jupyter Notebook

Comprehensive growth marketing experimentation strategies covering modern growth hacking, testing, and optimization methodologies. Drive rapid, sustainable growth through data-driven experiments.

  • Updated Jul 7, 2025

End-to-end Product Analytics portfolio with real-world projects using SQL, Python, Excel, and BI dashboards (Power BI & Tableau). Includes datasets, case studies, KPI frameworks, and decision-focused analysis.

  • Updated Jan 18, 2026
  • Python

Customer Strategy & Retention Marketing + Growth Analytics Portfolio — lifecycle automation, deep cohort segmentation, ROI-led finance & e-commerce retention across gamified landing pages and multi-channel comms; improving reactivation and repeat behaviour via incentive economics + performance analysis, with an agentic AI workflow reducing effort.

  • Updated Jan 21, 2026

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